Triple
T17844749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villeneuve-Loubet |
E445628
|
entity |
| Predicate | roadServedBy |
P385
|
FINISHED |
| Object |
RN7
RN7 is a historic major national road in France that runs from Paris toward the Mediterranean, long known as a primary holiday route.
|
E1290775
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: RN7 | Statement: [Villeneuve-Loubet, roadServedBy, RN7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RN7 Context triple: [Villeneuve-Loubet, roadServedBy, RN7]
-
A.
RN6
RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
-
B.
RN4
RN4 is a major French national highway that connects Paris to the eastern regions of France, serving as an important route toward cities like Nancy and Strasbourg.
-
C.
RN2
RN2 is a major national highway in its country, designated as Route Nationale No. 2 and serving as an important transportation corridor.
-
D.
RN370
RN370 is a French national road that serves as a key regional connector in the eastern suburbs of Paris, including access to the commune of Noisy-le-Grand.
-
E.
RN 55
RN 55 is the abbreviated designation for Colombia’s National Route 55, a major roadway in the country’s highway network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RN7 Triple: [Villeneuve-Loubet, roadServedBy, RN7]
Generated description
RN7 is a historic major national road in France that runs from Paris toward the Mediterranean, long known as a primary holiday route.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RN7 Target entity description: RN7 is a historic major national road in France that runs from Paris toward the Mediterranean, long known as a primary holiday route.
-
A.
RN6
RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
-
B.
RN4
RN4 is a major French national highway that connects Paris to the eastern regions of France, serving as an important route toward cities like Nancy and Strasbourg.
-
C.
RN2
RN2 is a major national highway in its country, designated as Route Nationale No. 2 and serving as an important transportation corridor.
-
D.
RN370
RN370 is a French national road that serves as a key regional connector in the eastern suburbs of Paris, including access to the commune of Noisy-le-Grand.
-
E.
RN 55
RN 55 is the abbreviated designation for Colombia’s National Route 55, a major roadway in the country’s highway network.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ff980048190b496c55b83b3b318 |
completed | April 19, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030700bc908190a4c3d995a0674875 |
completed | May 12, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_6a0307cca7888190905abe3c1c317c1a |
completed | May 12, 2026, 10:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03084521d88190ab60f3cbdfdb0869 |
completed | May 12, 2026, 11 a.m. |
Created at: April 10, 2026, 10:16 a.m.